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Streaming analytics

Ingest, process, and analyze event streams in real time. Google Cloud's streaming analytics solutions make data more organized, useful, and accessible from the instant it’s generated.

Benefits

Make the most of real-time data

Generate real value from real-time insights

Ingest, process, and analyze real-time event streams and take business impacting action on high-value, perishable insights.

Remove operational complexity

Leverage an auto-scaling and fully managed streaming infrastructure that solves for variable data volumes, performance tuning, and resource provisioning.

Utilize the best of Google Cloud

Access native integrations with Vertex AI Workbench, BigQuery, and other Google Cloud services for rapid and trusted development of intelligent solutions.

Key features

Real-time made real easy

Adopt simple ingestion for complex events

Ingest and analyze hundreds of millions of events per second from applications or devices virtually anywhere on the globe with Pub/Sub. Or directly stream millions of events per second into your data warehouse for SQL-based analysis with BigQuery's streaming API.

Unify stream and batch processing without lock-in

Unify streaming and batch data analysis with equal ease and build cohesive data pipelines with Dataflow. Dataflow ensures exactly-once processing, making your streaming pipelines more reliable and consistent for mission-critical applications. Data engineers can reuse code through Dataflow’s open source SDK, Apache Beam, which provides pipeline portability for hybrid or multi-cloud environments.

Keep your current tools while exploring next-generation AI

Bridge, migrate, or extend on-premises Apache Kafka and Apache Spark-based solutions through Confluent Cloud and Dataproc. Combined with Data Fusion’s GUI, data analysts and engineers can build streaming pipelines in a few clicks. Embed Google’s Vertex AI Workbench solution in your streaming analytics pipeline for real-time personalization, anomaly detection, and predictive maintenance scenarios.


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